check if still works

app.py

@@ -42,18 +42,6 @@ def fetch_required_files(exp_config):
     return exp_config
 
 
-def call_flask_server(username):
-    url = "https://saraht14-server.hf.space/"
-    
-    try:
-        response = requests.get(url)
-        result = response.json()
-        print("Flask response:", result)
-        return result.get("result", "No result")
-    except Exception as e:
-        print("Failed to contact Flask server:", e)
-        return f"Error contacting server: {e}"
-call_flask_server("sarah")
 def download_file(url, local_path):
     try:
         r = requests.get(url, headers={"Authorization": f"Bearer {HF_TOKEN}"})
@@ -251,20 +239,6 @@ def evaluate_model(username, groupname, file):
 
     script_path = f"submissions/{username}.py"
     os.makedirs("submissions", exist_ok=True)
-    
-    # # Get the file path from the NamedString object
-    # file_path = file.name  # Get the actual file path
-    # print("file_path:", file_path)
-    # with open(script_path, "wb") as f:
-    #     with open(file_path, "rb") as uploaded_file:
-    #         f.write(uploaded_file.read())
-
-
-    
-    # script_path = f"submissions/{username}.py"
-    # os.makedirs("submissions", exist_ok=True)
-    # with open(script_path, "wb") as f:
-    #     f.write(file.read())
 
     try:
 
@@ -286,25 +260,13 @@ def evaluate_model(username, groupname, file):
             # print(file_path)
             filename = filename + ".txt"
             print("FILE TO PROCESS:", filename)
-            # filename_url = f"https://saraht14-server.hf.space/file/{filename}"
-            # local_txt_path = f"./{filename}.txt"
-            # os.makedirs("temp_data", exist_ok=True)
-            # local_file_path = exp[key]["local_file"]
-            # downloaded = download_file(filename_url, local_txt_path)
             local_file_path = hf_hub_download(repo_id="IndoorOutdoor/metadata",
             filename=filename,
             repo_type="dataset",
             token=READ_TOKEN)
-            # if not downloaded:
-                # raise Exception("Failed to fetch remote file.")
-            # sectors_model = subprocess.run(["python", script_path,filename], capture_output=True, text=True, timeout=300)
-            # hello = foo()
-            # print(f"HELLO: {hello}")
-            # import 
             sectors_model = import_and_run_function(file, "evaluate", local_file_path)
             if sectors_model == None:
                 return None
-            
             try:
                 os.remove(local_file_path)
             except Exception as e:
@@ -314,9 +276,6 @@ def evaluate_model(username, groupname, file):
             
             
             print("SECTORS MODEL: ", sectors_model)
-            # sectors_model = eval(filename)
-            # print(sectors_model)
-            # sectors_model = model_based_clustering(dataset_directory, filename)
 
             stats_model_sectors.append(compute_stats_sector(sectors_model, sectors_gt))
             stats_model_in_out.append(compute_stats_in_out(sectors_model, indoor_gt))